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GlossaryStrategy & risk

Sample size

The number of eligible observations used to calculate a rate or performance statistic. Small samples produce less reliable estimates than larger, clearly defined samples.

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Common comparison error

Sample size from a selected backtest, demo account, or short sample is not a guaranteed Confidence interval result.

Practical use

How to verify Sample size

Read Sample size together with Observed win rate, Confidence interval, Session limit. The comparison must preserve the exact rule, value, state, and evidence described below.

A neutral example

Two samples share the same average for Sample size; one has five consecutive losses and the other twelve. Sequence and bankroll effects distinguish them from Observed win rate. What makes this an example of Sample size is that the number of valid observations controls uncertainty and must exclude or classify void, rejected, and missing rows consistently.

Evidence path

Where to verify Sample size

Use the source that governs the exact contract, account, entity, or platform state. A general definition cannot replace current broker terms.

Written calculation and full sampleState payout, loss treatment, assumptions, exclusions, stake path, cumulative exposure, stop rule, and uncertainty.
CFTC binary options resourcesUse regulator material as product-risk context, not as validation of a strategy or broker.Open source